opencv

Author: keshavsingh3197

Linkedin/Opencv/Untitled.ipynb

@@ -312,9 +312,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Pressed:  526 347\n",
+      "Pressed:  332 243\n"
+     ]
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "import cv2\n",
@@ -324,7 +333,13 @@
     "point=(200,200)\n",
     "radius=40\n",
     "border_width=6\n",
-    "def click(event,x,y)\n",
+    "def click(event,x,y,flags,param):\n",
+    "    global point,pressed\n",
+    "    if event==cv2.EVENT_LBUTTONDOWN:\n",
+    "        print('Pressed: ',x,y)\n",
+    "        point=(x,y)\n",
+    "cv2.namedWindow('keshav')\n",
+    "cv2.setMouseCallback('keshav',click)\n",
     "while True:\n",
     "    ret,frame=cap.read()\n",
     "    cv2.circle(frame,point,radius,color,border_width)\n",
@@ -334,6 +349,84 @@
     "cap.release()\n",
     "cv2.destroyAllWindows()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Drawing App\n",
+    "import numpy as np\n",
+    "import cv2\n",
+    "# cap=cv2.VideoCapture(0)\n",
+    "keshav=np.ones([500,500,3],'uint8')*255\n",
+    "radius=3\n",
+    "color=(0,255,0)\n",
+    "pressed=False\n",
+    "def click(event,x,y,flags,param):\n",
+    "    global keshav,pressed\n",
+    "    if event==cv2.EVENT_LBUTTONDOWN:\n",
+    "        pressed=True\n",
+    "        cv2.circle(keshav,(x,y),radius,color,-1)\n",
+    "    elif event==cv2.EVENT_MOUSEMOVE and pressed==True:\n",
+    "        cv2.circle(keshav,(x,y),radius,color,-1)\n",
+    "    elif event==cv2.EVENT_LBUTTONUP:\n",
+    "        pressed=False\n",
+    "cv2.namedWindow('keshav')\n",
+    "cv2.setMouseCallback('keshav',click)\n",
+    "\n",
+    "while True:\n",
+    "    cv2.imshow('keshav',keshav)\n",
+    "    if cv2.waitKey(1)&0xff==ord('q'):\n",
+    "        break\n",
+    "    elif cv2.waitKey(1)&0xff==ord('b'):\n",
+    "        color=(255,0,0)\n",
+    "    elif cv2.waitKey(1)&0xff==ord('g'):\n",
+    "        color=(0,255,0)\n",
+    "    elif cv2.waitKey(1)&0xff==ord('r'):\n",
+    "        color=(0,0,255)\n",
+    "cv2.destroyAllWindows()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# chapter 3\n",
+    "# segmentation\n",
+    "# simple threading\n",
+    "import numpy as np\n",
+    "import cv2\n",
+    "bw=cv2.imread('0.jpeg',0)\n",
+    "cv2.imshow('Original',bw)\n",
+    "\n",
+    "'method1'\n",
+    "height,width=bw.shape[0:2]\n",
+    "binary=np.zeros([height,width,3],'uint8')\n",
+    "thresh=85\n",
+    "for row in range(0,height):\n",
+    "    for col in range(0,width):\n",
+    "        if bw[row][col]>thresh:\n",
+    "            binary[row][col]=255\n",
+    "cv2.imshow('binary',binary)\n",
+    "\n",
+    "'method2'\n",
+    "ret,thresh=cv2.threshold(bw,thresh,255,cv2.THRESH_BINARY)\n",
+    "cv2.imshow('thresh',thresh)\n",
+    "\n",
+    "cv2.waitKey(0)\n",
+    "cv2.destroyAllWindows()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {